{"id":"W2979565904","doi":"10.29173/iasl7432","title":"Empowering Teacher Librarians to Support STEM Education: Preliminary Findings","year":2019,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exploratory research; Pedagogy; Psychology; Mathematics education; Order (exchange); Knowledge management; Computer science; Sociology; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02025345,0.0003923139,0.000613139,0.001665734,0.00283958,0.007537561,0.001268066,0.001841995,0.01260705],"category_scores_gemma":[0.05937627,0.0006352048,0.0005397453,0.001713855,0.00169292,0.007057808,0.005632177,0.002436516,0.00378812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001899,"about_ca_system_score_gemma":0.00960653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002294197,"about_ca_topic_score_gemma":0.006540539,"domain_scores_codex":[0.9899255,0.005058344,0.000738529,0.0006416646,0.002412192,0.001223755],"domain_scores_gemma":[0.8947887,0.07078975,0.006032978,0.003965537,0.01562234,0.008800731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002009313,0.01129273,0.3007136,0.008611189,0.000210074,0.001737352,0.2145942,0.0002466041,0.003604451,0.004414195,0.01504723,0.4375191],"study_design_scores_gemma":[0.0004158403,0.006608086,0.3313345,0.005287765,0.0009797607,0.001397534,0.5302531,0.0006260686,0.007924843,0.00286279,0.1121664,0.0001433877],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9136042,0.003263185,0.003025062,0.01147407,0.0001294028,0.002087915,0.000674715,0.0002281719,0.06551322],"genre_scores_gemma":[0.9761864,0.003700928,0.006240544,0.003546007,0.00008204929,0.001036515,0.0004034706,0.00004958747,0.008754479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02025345,"threshold_uncertainty_score":0.1071118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912055506347414,"score_gpt":0.3382163192625007,"score_spread":0.3090957641990266,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}